scholarly journals Intelligent Methods in Virtual Databases

2001 ◽  
pp. 580-591
Author(s):  
Amihai Motro ◽  
Philipp Anokhin ◽  
Jacob Berlin
Keyword(s):  
Intelligent Methods

scholarly journals Decision Making for Project Appraisal in Uncertain Environments: A Fuzzy-Possibilistic Approach of the Expanded NPV Method

Symmetry ◽  
2020 ◽  
Vol 13 (1) ◽  
pp. 27
Author(s):  
Konstantinos A. Chrysafis ◽  
Basil K. Papadopoulos
Keyword(s):  
Net Present Value ◽  
Fuzzy Numbers ◽  
Cost Of Capital ◽  
Weighted Average ◽  
Present Value ◽  
Major Drawback ◽  
Project Appraisal ◽  
Equity Cost ◽  
Set Up ◽  
Intelligent Methods

The major drawback of the classic approaches for project appraisal is the lack of the possibility to handle change requests during the project’s life cycle. This fact incorporates the concept of uncertainty in the estimation of this investment’s worth. To resolve this issue, the authors use fuzzy numbers, possibilistic moments of fuzzy numbers and the hybrid (fuzzy statistic) fuzzy estimators’ method in order to introduce a fuzzy possibilistic version of the expanded net present value method (FPeNPV). This approach consists of two factors: the fuzzy possibilistic NPV and the fuzzy option premium. For the estimation of the fuzzy NPV, some basic assumptions are taken into consideration: (1) the opportunity cost of capital, used as the present value interest factor calculated through the weighted average cost of capital (WACC), (2) the equity cost, determined through the possibilistic set-up of the capital asset pricing model CAPM, and (3) the inflation factor, also included in the estimation of the NPV. The fuzzy estimators’ method is used for the computation of the fuzzy option premium. An algorithm of nine major steps leads to the computation of the FPeNPV. This gives the administration the opportunity to adapt to potential changes in the company’s internal and external environments. In this way, the symmetry between the planning and execution phase of a project can be reinstated. The results validate the statement that fuzzy and intelligent methods remain valuable tools to express uncertainty in various scientific areas. Finally, an illustrative example aims at a thorough comprehension of this new approach of the expanded NPV method.

Applications of intelligent methods in various types of heat exchangers: a review

2021 ◽  
Author(s):  
Mohammad Ghalandari ◽  
Misagh Irandoost Shahrestani ◽  
Akbar Maleki ◽  
Mostafa Safdari Shadloo ◽  
Mamdouh El Haj Assad
Keyword(s):  
Heat Exchangers ◽  
Intelligent Methods

scholarly journals Estimation of tunnelling-induced settlement by modern intelligent methods

2015 ◽  
Vol 55 (4) ◽  
pp. 737-748 ◽  
Author(s):  
Kaveh Ahangari ◽  
Sayed Rahim Moeinossadat ◽  
Danial Behnia
Keyword(s):  
Intelligent Methods

MATHEMATICAL SUPPORT FOR INDUCTION SOLDERING CONTROL BASED ON INTELLIGENT METHODS OF INFORMATION PROCESSING

2021 ◽  
pp. 81-87
Author(s):  
А.В. Милов
Keyword(s):  
Genetic Algorithm ◽  
Neural Networks ◽  
Artificial Neural Networks ◽  
Information Processing ◽  
Mathematical Models ◽  
Technological Process ◽  
Artificial Neural ◽  
Intelligent Methods

В статье представлены математические модели на основе искусственных нейронных сетей, используемые для управления индукционной пайкой. Обучение искусственных нейронных сетей производилось с использованием многокритериального генетического алгоритма FFGA. This article presents mathematical models based on artificial neural networks used to control induction soldering. The artificial neural networks were trained using the FFGA multicriteria genetic algorithm. The developed models allow to control induction soldering under conditions of incomplete or unreliable information, as well as under conditions of complete absence of information about the technological process.

Сase-systems for development of multiagent system (MAS) in the system of diagnostics and maintenance of vehicles

2021 ◽  
Vol 13 (1) ◽  
pp. 87-93
Author(s):  
Viacheslav Pavlenko ◽  
◽  
Volodymyr Manuylov ◽  
Volodymyr Kuzhel ◽  
◽  
...  
Keyword(s):  
Comparative Analysis ◽  
Technical Condition ◽  
Point Of View ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Software Products ◽  
Multi Agent ◽  
Software Code ◽  
Low Performance ◽  
Intelligent Methods

The article provides a comparative analysis of existing software products and libraries that allow the design of multi-agent systems for diagnostics and maintenance systems for modern cars. The authors substantiate two main shortcomings inherent in all products - analogues: the need for high qualification of the user as a software code developer, and low performance of intelligent methods in the structure of agents, which worsens their performance. Both manufacturers and car owners are objectively interested in the widespread use of telematics systems for monitoring the technical condition of cars. Predictive diagnostics gives them access to a huge amount of information about all the nuances of car operation, wherever they are, during the entire service life. The application of this approach using a multi-agent system (MAS) will allow taking the next step in this direction. Information from the connected vehicles goes to the main server. Systematization and analysis of data make it possible to establish the causes of malfunctions, identify patterns of their occurrence and make further predictions. Purpose of the work: to perform a comparative analysis of existing software products and libraries that allow the design of multi-agent systems. The topic of the work is disclosed on the example of the analysis of software tools for the development and design of MAS at the present stage. There are a number of systems and libraries on the market designed for the development of multi-agent systems. These Case - systems are suitable for the development of multi-agent systems of any direction, that is, they are universal from this point of view. Therefore, for us it is a universal application tool for the automotive industry. Ultimately, the work performed a comparative analysis of existing software products and libraries that allow the design of multi-agent systems. The analysis revealed two main drawbacks inherent in all products - analogs: the need for high user qualifications as a developer of software code, and low indicators of the possibilities of introducing intelligent methods into the structure of agents, worsens the indicators of their work.

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